Hongxi Wang

CTS: Concurrent Teacher-Student Reinforcement Learning for Legged Locomotion

Thanks to recent explosive developments of data-driven learning methodologies, reinforcement learning (RL) emerges as a promising solution to address the legged locomotion problem in robotics. In this letter, we propose CTS, a novel Concurrent Teacher-Student reinforcement learning architecture for